Download or read book Dancing with Python written by Robert S. Sutor and published by . This book was released on 2021-08-31 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop skills in Python by implementing exciting algorithms, including mathematical functions, classical searching, data analysis, plotting data, machine learning techniques, and quantum circuits Key Features: Learn Python basics to write elegant and efficient code Create quantum circuits and algorithms using Qiskit and run them on quantum computing hardware and simulators Delve into Python's advanced features, including machine learning, analyzing data, and searching Book Description: Coding is the art and engineering of creating software, and Python has been one of the core coding languages for many years. This introductory Python book helps you learn classical and quantum computing in a unified and practical way. It will help you explore work with numbers, strings, collections, iterators, and files. The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends classical techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning. By the end of the book, you will be proficient in classical coding and programming the latest and most powerful quantum computers. What You Will Learn: Create Python code using numbers, strings, collections, classes, objects, functions, conditionals, loops, and operators Write succinct code the Pythonic way using magic methods, iterators, and generators Explore different quantum gates and use them to build quantum circuits Analyze data, build basic machine learning models and plot the results Search for information using traditional methods and the quantum Grover Search Algorithm Optimize and test your code to run efficiently Who this book is for: The book is for Python and coding beginners. Basic familiarity with algebra, geometry, trigonometry, and logarithms is required as the book does not cover the detailed mathematics and theory of quantum computing. You can check out the author's Dancing with Qubits book, also published by Packt, for an approachable and comprehensive introduction to quantum computing.
Download or read book Dancing with Python written by Robert S. Sutor and published by Packt Publishing Ltd. This book was released on 2021-08-31 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop skills in Python and Quantum Computing by implementing exciting algorithms, mathematical functions, classical searching, data analysis, plotting data, machine learning techniques, and quantum circuits. Key FeaturesCreate quantum circuits and algorithms using Qiskit and run them on quantum computing hardware and simulatorsLearn the Pythonic way to write elegant and efficient codeDelve into Python's advanced features, including machine learning, analyzing data, and searchingBook Description Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files. The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning. By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way. What you will learnExplore different quantum gates and build quantum circuits with Qiskit and PythonWrite succinct code the Pythonic way using magic methods, iterators, and generatorsAnalyze data, build basic machine learning models, and plot the resultsSearch for information using the quantum Grover Search AlgorithmOptimize and test your code to run efficientlyWho this book is for The book will help you get started with coding for Python and Quantum Computing. Basic familiarity with algebra, geometry, trigonometry, and logarithms is required as the book does not cover the detailed mathematics and theory of quantum computing. You can check out the author's Dancing with Qubits book, also published by Packt, for an approachable and comprehensive introduction to quantum computing.
Download or read book Dancing with Qubits written by Robert S. Sutor and published by Packt Publishing Ltd. This book was released on 2019-11-28 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the principles and practicalities of quantum computing Key Features Discover how quantum computing works and delve into the math behind it with this quantum computing textbook Learn how it may become the most important new computer technology of the century Explore the inner workings of quantum computing technology to quickly process complex cloud data and solve problems Book DescriptionQuantum computing is making us change the way we think about computers. Quantum bits, a.k.a. qubits, can make it possible to solve problems that would otherwise be intractable with current computing technology. Dancing with Qubits is a quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. From there it moves on to a fuller description of classical computing and the mathematical underpinnings necessary to understand such concepts as superposition, entanglement, and interference. Next up is circuits and algorithms, both basic and more sophisticated. It then nicely moves on to provide a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments will affect you. Really understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is introduced and explained thoroughly, in clear English with helpful examples.What you will learn See how quantum computing works, delve into the math behind it, what makes it different, and why it is so powerful with this quantum computing textbook Discover the complex, mind-bending mechanics that underpin quantum systems Understand the necessary concepts behind classical and quantum computing Refresh and extend your grasp of essential mathematics, computing, and quantum theory Explore the main applications of quantum computing to the fields of scientific computing, AI, and elsewhere Examine a detailed overview of qubits, quantum circuits, and quantum algorithm Who this book is for Dancing with Qubits is a quantum computing textbook for those who want to deeply explore the inner workings of quantum computing. This entails some sophisticated mathematical exposition and is therefore best suited for those with a healthy interest in mathematics, physics, engineering, and computer science.
Download or read book Competitive Programming in Python written by Christoph Dürr and published by Cambridge University Press. This book was released on 2020-12-17 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book and on the companion website.
Download or read book Learn Quantum Computing with Python and IBM Quantum Experience written by Robert Loredo and published by Packt Publishing Ltd. This book was released on 2020-09-28 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide to learning the implementation and associated methodologies in quantum computing with the help of the IBM Quantum Experience, Qiskit, and Python that will have you up and running and productive in no time Key FeaturesDetermine the difference between classical computers and quantum computersUnderstand the quantum computational principles such as superposition and entanglement and how they are leveraged on IBM Quantum Experience systemsRun your own quantum experiments and applications by integrating with QiskitBook Description IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM's quantum processors. You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you'll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you'll not only learn the differences between the various quantum computers but also the various simulators available. Later, you'll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience. By the end of this book, you'll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business. What you will learnExplore quantum computational principles such as superposition and quantum entanglementBecome familiar with the contents and layout of the IBM Quantum ExperienceUnderstand quantum gates and how they operate on qubitsDiscover the quantum information science kit and its elements such as Terra and AerGet to grips with quantum algorithms such as Bell State, Deutsch-Jozsa, Grover's algorithm, and Shor's algorithmHow to create and visualize a quantum circuitWho this book is for This book is for Python developers who are looking to learn quantum computing and put their knowledge to use in practical situations with the help of IBM Quantum Experience. Some background in computer science and high-school-level physics and math is required.
Download or read book Learning Python written by B. Nagesh Rao and published by . This book was released on 2017-05-17 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 10 Reasons Why This is the Best Book for You: 1. This book starts slowly! The fundamental concepts are taught gently to ensure that you have a good foundation of basic concepts! 2. This book is well organised! The chapters, headings, subheadings and content within the chapters have been planned very carefully so that you conquer Python - chapter by chapter! 3. This book teaches interactively! The moment a new concept is taught, there is code that immediately follows so that you understand how it looks to the Python interpreter! 4. This book teaches even when you can't practice! Not only do we show you code immediately after teaching a concept, we also provide output from a real Python session so that you can imagine how Python reacts when you type in a piece of code! 5. This book teaches good programming practices! It is not only important to learn Python, but to also code like a professional. While it will definitely take a little bit of time to metamorphose from novice to professional, we show you best practices and pitfalls that will accelerate your journey! 6. This book presents programs that solve real problems! When it is time to apply Python, we show you constructive programs that demonstrate how to apply Python concepts! 7. We analyse every bit of code! Everything there is to analyse is analysed. Code snippets and programs are followed by output, which is then followed by analysis! 8. We compare Python with other programming languages! For the benefit of those readers who already know other programming languages like C/C++, Java or Perl, we provide tips that help them migrate to Python faster. These tips are in separate boxes to ensure that they don't disturb those readers who are not savvy with these languages! 9. We have filtered out content! While this might appear disadvantageous or counter-intuitive, we believe in presenting the most important concepts in detail and probably even skipping some concepts that you can live without! Call it the 80/20 rule if you will - we have decided to present in great detail those 20% of the features that you will use 80% of the time! 10. Each heading and subheading is need based! Our style of explaining a new concept is by first establishing a need. We believe this makes it easier for learners to understand not only what they are learning but also why!
Download or read book Introduction to Data Science written by Laura Igual and published by Springer. This book was released on 2017-02-22 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.
Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
Download or read book Effective Computation in Physics written by Anthony Scopatz and published by "O'Reilly Media, Inc.". This book was released on 2015-06-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: More physicists today are taking on the role of software developer as part of their research, but software development isnâ??t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. Youâ??ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures
Download or read book Clean Code in Python written by Mariano Anaya and published by Packt Publishing Ltd. This book was released on 2021-01-06 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tackle inefficiencies and errors the Pythonic way Key Features Enhance your coding skills using the new features introduced in Python 3.9 Implement the refactoring techniques and SOLID principles in Python Apply microservices to your legacy systems by implementing practical techniques Book Description Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code. With updated code and revised content aligned to the new features of Python 3.9, this second edition of Clean Code in Python will provide you with all the tools you need to overcome these obstacles and manage your projects successfully. The book begins by describing the basic elements of writing clean code and how it plays a key role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. The book discusses object-oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve problems by implementing software design patterns in your code. In the concluding chapter, we break down a monolithic application into a microservices-based one starting from the code as the basis for a solid platform. By the end of this clean code book, you will be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world Python code. What you will learn Set up a productive development environment by leveraging automatic tools Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details Create advanced object-oriented designs using unique features of Python, such as descriptors Eliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented design Create Python-specific solutions using decorators and descriptors Refactor code effectively with the help of unit tests Build the foundations for solid architecture with a clean code base as its cornerstone Who this book is for This book is designed to benefit new as well as experienced programmers. It will appeal to team leads, software architects and senior software engineers who would like to write Pythonic code to save on costs and improve efficiency. The book assumes that you have a strong understanding of programming
Download or read book Dive Into Python written by Mark Pilgrim and published by Apress. This book was released on 2004-07-12 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Quick start to learning python—very example oriented approach * Book has its own Web site established by the author: http://diveintopython.org/ Author is well known in the Open Source community and the book has a unique quick approach to learning an object oriented language.
Download or read book Python and R for the Modern Data Scientist written by Rick J. Scavetta and published by "O'Reilly Media, Inc.". This book was released on 2021-06-22 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. Learn Python and R from the perspective of your current language Understand the strengths and weaknesses of each language Identify use cases where one language is better suited than the other Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows Learn how to integrate R and Python in a single workflow Follow a case study that demonstrates ways to use these languages together
Download or read book Dancing Skeletons written by Katherine A. Dettwyler and published by Waveland Press. This book was released on 2013-09-26 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most widely used ethnographies published in the last twenty years, this Margaret Mead Award winner has been used as required reading at more than 600 colleges and universities. This personal account by a biocultural anthropologist illuminates not-soon-forgotten messages involving the sobering aspects of fieldwork among malnourished children in West Africa. With nutritional anthropology at its core, Dancing Skeletons presents informal, engaging, and oftentimes dramatic stories that relate the author’s experiences conducting research on infant feeding and health in Mali. Through fascinating vignettes and honest, vivid descriptions, Dettwyler explores such diverse topics as ethnocentrism, culture shock, population control, breastfeeding, child care, the meaning of disability and child death in different cultures, female circumcision, women’s roles in patrilineal societies, the dangers of fieldwork, and facing emotionally draining realities. Readers will laugh and cry as they meet the author’s friends and informants, follow her through a series of encounters with both peri-urban and rural Bambara culture, and struggle with her as she attempts to reconcile her very different roles as objective ethnographer, subjective friend, and mother in the field. The 20th Anniversary Edition includes a 13-page “Q&A with the Author” in which Dettwyler responds to typical questions she has received individually from students who have been assigned Dancing Skeletons as well as audience questions at lectures on various campuses. The new 23-page “Update on Mali, 2013” chapter is a factual update about economic and health conditions in Mali as well as a brief summary of the recent political unrest.
Download or read book A Time to Dance a Time to Die written by John Waller and published by Icon Books Company. This book was released on 2008 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In July 1518 a terrifying and mysterious plague struck the medieval city of Strasbourg. Hundreds of men and women danced wildly, day after day, in the punishing summer heat. Their feet blistered and bled, and their limbs ached with fatigue, but they simply could not stop. Throughout August and early September more and more were seized by the same terrible compulsion." "By the time the epidemic subsided, heat and exhaustion had claimed an untold number of lives, leaving thousands bewildered and bereaved, and an enduring enigma for future generations." "This book explains why Strasbourg's dancing plague took place. In doing so, it leads us into a largely vanished world, evoking the sights, sounds, aromas, diseases and hardships, the fervent supernaturalism and the desperate hedonism of the late-medieval world." "At the same time, it offers insights into how people behave when driven beyond the limits of endurance. Not only a historical detective story, A Time to Dance, A Time to Die is also an exploration of the strangest capabilities of the human mind and the extremes to which fear and irrationality can lead us."--BOOK JACKET.
Download or read book All the Impossible Things written by Lindsay Lackey and published by Roaring Brook Press. This book was released on 2019-09-03 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bit of magic, a sprinkling of adventure, and a whole lot of heart collide in All the Impossible Things, Lindsay Lackey's extraordinary middle-grade novel about a young girl navigating the foster care system in search of where she belongs. "Wise and wondrous, this is truly a novel to cherish.” —Katherine Applegate, New York Times–bestselling author of Wishtree An Indies Introduce Selection Red’s inexplicable power over the wind comes from her mother. Whenever Ruby “Red” Byrd is scared or angry, the wind picks up. And being placed in foster care, moving from family to family, tends to keep her skies stormy. Red knows she has to learn to control it, but can’t figure out how. This time, the wind blows Red into the home of the Grooves, a quirky couple who run a petting zoo, complete with a dancing donkey and a giant tortoise. With their own curious gifts, Celine and Jackson Groove seem to fit like a puzzle piece into Red’s heart. But just when Red starts to settle into her new life, a fresh storm rolls in, one she knows all too well: her mother. For so long, Red has longed to have her mom back in her life, and she’s quickly swept up in the vortex of her mother’s chaos. Now Red must discover the possible in the impossible if she wants to overcome her own tornadoes and find the family she needs.
Download or read book Bitwise written by David Auerbach and published by Vintage. This book was released on 2018-08-28 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exhilarating, elegant memoir and a significant polemic on how computers and algorithms shape our understanding of the world and of who we are Bitwise is a wondrous ode to the computer languages and codes that captured technologist David Auerbach’s imagination. With a philosopher’s sense of inquiry, Auerbach recounts his childhood spent drawing ferns with the programming language Logo on the Apple IIe, his adventures in early text-based video games, his education as an engineer, and his contributions to instant messaging technology developed for Microsoft and the servers powering Google’s data stores. A lifelong student of the systems that shape our lives—from the psychiatric taxonomy of the Diagnostic and Statistical Manual to how Facebook tracks and profiles its users—Auerbach reflects on how he has experienced the algorithms that taxonomize human speech, knowledge, and behavior and that compel us to do the same. Into this exquisitely crafted, wide-ranging memoir of a life spent with code, Auerbach has woven an eye-opening and searing examination of the inescapable ways in which algorithms have both standardized and coarsened our lives. As we engineer ever more intricate technology to translate our experiences and narrow the gap that divides us from the machine, Auerbach argues, we willingly erase our nuances and our idiosyncrasies—precisely the things that make us human.
Download or read book Purple Python written by Scarlet Risque and published by Createspace Independent Publishing Platform. This book was released on 2018-05-30 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: A BEAUTIFUL UNDERCOVER AGENT, Jessica, codename Purple Python, is sent to Singapore under the White Queen's orders to prevent the expansion plans of Wilmar Enterprises in Asia. Jessica identifies the chief financial officer of an equity fund, Garrett, as her key target. Garrett is interested in investing in Wilmar's Asia Fund, and Jessica is tasked with derailing his plans. As Jessica works on getting close to Garrett, she finds herself becoming interested in Garrett. Jessica engages in an internal tug-of-war as her feelings for Garrett deepen and she begins to question her loyalties. Will she betray the woman who saved her from the streets, or will she sacrifice her chance at a soul mate? Purple Python is a standalone full-length novel in the HOURGLASS series of corporate espionage undercover femme fatale agents. The series explores finding one's identity in the backdrop of capitalism with dominance and submission themes, romance, love, and betrayal entwined with undercover spies on a mission to serve the greater good.
